Pandas Profiling Report

Dataset statistics

Number of variables	17
Number of observations	2111
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	9
Duplicate rows (%)	0.4%
Total size in memory	280.5 KiB
Average record size in memory	136.1 B

Variable types

Categorical	5
Numeric	8
Boolean	4

Alerts

Dataset has 9 (0.4%) duplicate rows	Duplicates
`Gender` is highly correlated with `Height` and 2 other fields	High correlation
`family_history_with_overweight` is highly correlated with `Weight` and 2 other fields	High correlation
`NObeyesdad` is highly correlated with `Gender` and 4 other fields	High correlation
`Age` is highly correlated with `Weight` and 2 other fields	High correlation
`Height` is highly correlated with `Gender` and 1 other fields	High correlation
`Weight` is highly correlated with `Gender` and 7 other fields	High correlation
`FCVC` is highly correlated with `NObeyesdad`	High correlation
`CAEC` is highly correlated with `family_history_with_overweight`	High correlation
`CH2O` is highly correlated with `Weight`	High correlation
`FAF` is highly correlated with `Weight`	High correlation
`TUE` is highly correlated with `Weight`	High correlation
`MTRANS` is highly correlated with `Age`	High correlation
`FAF` has 411 (19.5%) zeros	Zeros
`TUE` has 557 (26.4%) zeros	Zeros

Reproduction

Analysis started	2023-05-26 04:30:42.707247
Analysis finished	2023-05-26 04:31:06.028758
Duration	23.32 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Male	1068
Female	1043

Length

Max length	6
Median length	4
Mean length	4.988157271
Min length	4

Characters and Unicode

Total characters	10530
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	1068	50.6%
Female	1043	49.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	1068	50.6%
female	1043	49.4%

Most occurring characters

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8419	80.0%
Uppercase Letter	2111	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3154	37.5%
a	2111	25.1%
l	2111	25.1%
m	1043	12.4%

Uppercase Letter

Value	Count	Frequency (%)
M	1068	50.6%
F	1043	49.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10530	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10530	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1402
Distinct (%)	66.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.31259991

Minimum	14
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	14
5-th percentile	17.8914285
Q1	19.947192
median	22.77789
Q3	26
95-th percentile	38.09807
Maximum	61
Range	47
Interquartile range (IQR)	6.052808

Descriptive statistics

Standard deviation	6.345968274
Coefficient of variation (CV)	0.2610156173
Kurtosis	2.826389029
Mean	24.31259991
Median Absolute Deviation (MAD)	3.22211
Skewness	1.529100354
Sum	51323.89841
Variance	40.27131333
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	128	6.1%
26	101	4.8%
21	96	4.5%
23	89	4.2%
19	59	2.8%
20	48	2.3%
22	39	1.8%
17	30	1.4%
24	18	0.9%
25	16	0.8%
Other values (1392)	1487	70.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	1	< 0.1%
15	1	< 0.1%
16	9	0.4%
16.093234	1	< 0.1%
16.129279	1	< 0.1%
16.172992	1	< 0.1%
16.198153	1	< 0.1%
16.240576	1	< 0.1%
16.270434	1	< 0.1%
16.30687	2	0.1%

Value	Count	Frequency (%)
61	1	< 0.1%
56	1	< 0.1%
55.24625	1	< 0.1%
55.137881	1	< 0.1%
55.022494	1	< 0.1%
55	2	0.1%
52	1	< 0.1%
51	1	< 0.1%
50.832559	1	< 0.1%
47.7061	1	< 0.1%

Height
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1574
Distinct (%)	74.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.701677353

Minimum	1.45
Maximum	1.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1.45
5-th percentile	1.5482905
Q1	1.63
median	1.700499
Q3	1.768464
95-th percentile	1.85
Maximum	1.98
Range	0.53
Interquartile range (IQR)	0.138464

Descriptive statistics

Standard deviation	0.09330481987
Coefficient of variation (CV)	0.0548310875
Kurtosis	-0.5629488933
Mean	1.701677353
Median Absolute Deviation (MAD)	0.069769
Skewness	-0.01285464646
Sum	3592.240893
Variance	0.008705789411
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.7	60	2.8%
1.65	50	2.4%
1.6	43	2.0%
1.75	39	1.8%
1.62	36	1.7%
1.8	28	1.3%
1.72	19	0.9%
1.63	17	0.8%
1.67	16	0.8%
1.78	15	0.7%
Other values (1564)	1788	84.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.45	1	< 0.1%
1.456346	1	< 0.1%
1.48	1	< 0.1%
1.481682	1	< 0.1%
1.483284	1	< 0.1%
1.486484	1	< 0.1%
1.489409	1	< 0.1%
1.491441	1	< 0.1%
1.498561	1	< 0.1%
1.5	13	0.6%

Value	Count	Frequency (%)
1.98	1	< 0.1%
1.975663	1	< 0.1%
1.947406	1	< 0.1%
1.942725	1	< 0.1%
1.931263	1	< 0.1%
1.930416	1	< 0.1%
1.93	2	0.1%
1.92	1	< 0.1%
1.919543	1	< 0.1%
1.918859	1	< 0.1%

Weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1525
Distinct (%)	72.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.58605813

Minimum	39
Maximum	173
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	39
5-th percentile	48.5
Q1	65.473343
median	83
Q3	107.430682
95-th percentile	131.9161515
Maximum	173
Range	134
Interquartile range (IQR)	41.957339

Descriptive statistics

Standard deviation	26.19117175
Coefficient of variation (CV)	0.3024871707
Kurtosis	-0.6998981576
Mean	86.58605813
Median Absolute Deviation (MAD)	21.735215
Skewness	0.2554104954
Sum	182783.1687
Variance	685.9774774
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	59	2.8%
70	43	2.0%
50	42	2.0%
75	40	1.9%
60	37	1.8%
65	26	1.2%
42	22	1.0%
90	20	0.9%
78	19	0.9%
45	18	0.9%
Other values (1515)	1785	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
39	1	< 0.1%
39.101805	1	< 0.1%
39.371523	1	< 0.1%
39.695295	1	< 0.1%
39.850137	1	< 0.1%
40	1	< 0.1%
40.202773	1	< 0.1%
40.343463	1	< 0.1%
41.220175	1	< 0.1%
41.268597	1	< 0.1%

Value	Count	Frequency (%)
173	1	< 0.1%
165.057269	1	< 0.1%
160.935351	1	< 0.1%
160.639405	1	< 0.1%
155.872093	1	< 0.1%
155.242672	1	< 0.1%
154.618446	1	< 0.1%
153.959945	1	< 0.1%
153.149491	1	< 0.1%
152.720545	1	< 0.1%

family_history_with_overweight
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

True	1726
False	385

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	1726	81.8%
False	385	18.2%

FAVC
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

True	1866
False	245

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	1866	88.4%
False	245	11.6%

FCVC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	810
Distinct (%)	38.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.419043062

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1.5232145
Q1	2
median	2.385502
Q3	3
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5339265785
Coefficient of variation (CV)	0.2207180959
Kurtosis	-0.637545902
Mean	2.419043062
Median Absolute Deviation (MAD)	0.385502
Skewness	-0.4329058314
Sum	5106.599903
Variance	0.2850775912
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	652	30.9%
2	600	28.4%
1	33	1.6%
2.823179	2	0.1%
2.21498	2	0.1%
2.795086	2	0.1%
2.442536	2	0.1%
2.81646	2	0.1%
2.938031	2	0.1%
2.954996	2	0.1%
Other values (800)	812	38.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	33	1.6%
1.003566	1	< 0.1%
1.005578	1	< 0.1%
1.00876	1	< 0.1%
1.031149	1	< 0.1%
1.036159	1	< 0.1%
1.036414	1	< 0.1%
1.052699	1	< 0.1%
1.053534	1	< 0.1%
1.063449	1	< 0.1%

Value	Count	Frequency (%)
3	652	30.9%
2.998441	1	< 0.1%
2.997951	1	< 0.1%
2.997524	1	< 0.1%
2.996717	1	< 0.1%
2.996186	1	< 0.1%
2.995599	1	< 0.1%
2.99448	1	< 0.1%
2.992329	1	< 0.1%
2.992205	1	< 0.1%

NCP
Real number (ℝ_≥0)

Distinct	635
Distinct (%)	30.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.68562805

Minimum	1
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2.658738
median	3
Q3	3
95-th percentile	3.750881
Maximum	4
Range	3
Interquartile range (IQR)	0.341262

Descriptive statistics

Standard deviation	0.7780386488
Coefficient of variation (CV)	0.2897045438
Kurtosis	0.3855266238
Mean	2.68562805
Median Absolute Deviation (MAD)	0
Skewness	-1.107097267
Sum	5669.360813
Variance	0.6053441391
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	1203	57.0%
1	199	9.4%
4	69	3.3%
2.77684	2	0.1%
3.985442	2	0.1%
1.73762	2	0.1%
1.894384	2	0.1%
1.104642	2	0.1%
2.644692	2	0.1%
3.559841	2	0.1%
Other values (625)	626	29.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	199	9.4%
1.000283	1	< 0.1%
1.000414	1	< 0.1%
1.00061	1	< 0.1%
1.001383	1	< 0.1%
1.001542	1	< 0.1%
1.001633	1	< 0.1%
1.005391	1	< 0.1%
1.009426	1	< 0.1%
1.010319	1	< 0.1%

Value	Count	Frequency (%)
4	69	3.3%
3.999591	1	< 0.1%
3.998766	1	< 0.1%
3.998618	1	< 0.1%
3.995957	1	< 0.1%
3.995147	1	< 0.1%
3.994588	1	< 0.1%
3.990925	1	< 0.1%
3.98955	1	< 0.1%
3.989492	1	< 0.1%

CAEC
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Sometimes	1765
Frequently	242
Always	53
no	51

Length

Max length	10
Median length	9
Mean length	8.870203695
Min length	2

Characters and Unicode

Total characters	18725
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	Sometimes
3rd row	Sometimes
4th row	Sometimes
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	1765	83.6%
Frequently	242	11.5%
Always	53	2.5%
no	51	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
sometimes	1765	83.6%
frequently	242	11.5%
always	53	2.5%
no	51	2.4%

Most occurring characters

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16665	89.0%
Uppercase Letter	2060	11.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4014	24.1%
m	3530	21.2%
t	2007	12.0%
s	1818	10.9%
o	1816	10.9%
i	1765	10.6%
y	295	1.8%
l	295	1.8%
n	293	1.8%
r	242	1.5%
Other values (4)	590	3.5%

Uppercase Letter

Value	Count	Frequency (%)
S	1765	85.7%
F	242	11.7%
A	53	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18725	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18725	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

SMOKE
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

False	2067
True	44

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	2067	97.9%
True	44	2.1%

CH2O
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1268
Distinct (%)	60.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.008011404

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1.5848125
median	2
Q3	2.47742
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	0.8926075

Descriptive statistics

Standard deviation	0.6129534518
Coefficient of variation (CV)	0.3052539695
Kurtosis	-0.8793946101
Mean	2.008011404
Median Absolute Deviation (MAD)	0.452986
Skewness	-0.1049116449
Sum	4238.912074
Variance	0.3757119341
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	448	21.2%
1	211	10.0%
3	162	7.7%
2.825629	3	0.1%
1.636326	3	0.1%
2.115967	2	0.1%
2.174248	2	0.1%
2.530035	2	0.1%
2.450069	2	0.1%
1.439962	2	0.1%
Other values (1258)	1274	60.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	211	10.0%
1.000463	1	< 0.1%
1.000536	1	< 0.1%
1.000544	1	< 0.1%
1.000695	1	< 0.1%
1.001307	1	< 0.1%
1.001995	1	< 0.1%
1.002292	1	< 0.1%
1.003063	1	< 0.1%
1.003563	1	< 0.1%

Value	Count	Frequency (%)
3	162	7.7%
2.999495	1	< 0.1%
2.994515	1	< 0.1%
2.993448	1	< 0.1%
2.991671	1	< 0.1%
2.989389	1	< 0.1%
2.988771	1	< 0.1%
2.987718	1	< 0.1%
2.987406	1	< 0.1%
2.984323	1	< 0.1%

SCC
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

False	2015
True	96

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	2015	95.5%
True	96	4.5%

FAF
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1190
Distinct (%)	56.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.010297696

Minimum	0
Maximum	3
Zeros	411
Zeros (%)	19.5%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.124505
median	1
Q3	1.6666775
95-th percentile	2.677133
Maximum	3
Range	3
Interquartile range (IQR)	1.5421725

Descriptive statistics

Standard deviation	0.8505924308
Coefficient of variation (CV)	0.8419225683
Kurtosis	-0.6205877595
Mean	1.010297696
Median Absolute Deviation (MAD)	0.804157
Skewness	0.4984896147
Sum	2132.738436
Variance	0.7235074834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	411	19.5%
1	234	11.1%
2	183	8.7%
3	75	3.6%
0.110174	2	0.1%
1.661556	2	0.1%
0.245354	2	0.1%
1.067817	2	0.1%
0.288032	2	0.1%
1.252472	2	0.1%
Other values (1180)	1196	56.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	411	19.5%
9.6 × 10^-5	1	< 0.1%
0.000272	1	< 0.1%
0.000454	1	< 0.1%
0.001015	1	< 0.1%
0.001086	1	< 0.1%
0.001272	1	< 0.1%
0.001297	1	< 0.1%
0.00203	1	< 0.1%
0.00342	1	< 0.1%

Value	Count	Frequency (%)
3	75	3.6%
2.999918	1	< 0.1%
2.998981	1	< 0.1%
2.971832	1	< 0.1%
2.939733	1	< 0.1%
2.936551	1	< 0.1%
2.931527	1	< 0.1%
2.892922	2	0.1%
2.891986	1	< 0.1%
2.89118	1	< 0.1%

TUE
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1129
Distinct (%)	53.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6578659237

Minimum	0
Maximum	2
Zeros	557
Zeros (%)	26.4%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.62535
Q3	1
95-th percentile	2
Maximum	2
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.6089272597
Coefficient of variation (CV)	0.9256099727
Kurtosis	-0.5486604004
Mean	0.6578659237
Median Absolute Deviation (MAD)	0.484872
Skewness	0.6185024143
Sum	1388.754965
Variance	0.3707924076
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	557	26.4%
1	292	13.8%
2	109	5.2%
0.630866	4	0.2%
1.119877	3	0.1%
0.0026	3	0.1%
0.009254	2	0.1%
0.8324	2	0.1%
1.36595	2	0.1%
0.828549	2	0.1%
Other values (1119)	1135	53.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	557	26.4%
7.3 × 10^-5	1	< 0.1%
0.000355	1	< 0.1%
0.000436	1	< 0.1%
0.001096	1	< 0.1%
0.00133	1	< 0.1%
0.001337	1	< 0.1%
0.001518	1	< 0.1%
0.00159	1	< 0.1%
0.00164	1	< 0.1%

Value	Count	Frequency (%)
2	109	5.2%
1.99219	1	< 0.1%
1.990617	1	< 0.1%
1.983678	1	< 0.1%
1.980875	1	< 0.1%
1.978043	1	< 0.1%
1.972926	1	< 0.1%
1.97117	1	< 0.1%
1.969507	1	< 0.1%
1.967259	1	< 0.1%

CALC
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Sometimes	1401
no	639
Frequently	70
Always	1

Length

Max length	10
Median length	9
Mean length	6.912837518
Min length	2

Characters and Unicode

Total characters	14593
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	no
2nd row	Sometimes
3rd row	Frequently
4th row	Frequently
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	1401	66.4%
no	639	30.3%
Frequently	70	3.3%
Always	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
sometimes	1401	66.4%
no	639	30.3%
frequently	70	3.3%
always	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
y	71	0.5%
l	71	0.5%
Other values (7)	283	1.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13121	89.9%
Uppercase Letter	1472	10.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2942	22.4%
m	2802	21.4%
o	2040	15.5%
t	1471	11.2%
s	1402	10.7%
i	1401	10.7%
n	709	5.4%
y	71	0.5%
l	71	0.5%
u	70	0.5%
Other values (4)	142	1.1%

Uppercase Letter

Value	Count	Frequency (%)
S	1401	95.2%
F	70	4.8%
A	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14593	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
y	71	0.5%
l	71	0.5%
Other values (7)	283	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14593	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
y	71	0.5%
l	71	0.5%
Other values (7)	283	1.9%

MTRANS
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Public_Transportation	1580
Automobile	457
Walking	56
Motorbike	11
Bike	7

Length

Max length	21
Median length	21
Mean length	18.12837518
Min length	4

Characters and Unicode

Total characters	38269
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Public_Transportation
2nd row	Public_Transportation
3rd row	Public_Transportation
4th row	Walking
5th row	Public_Transportation

Common Values

Value	Count	Frequency (%)
Public_Transportation	1580	74.8%
Automobile	457	21.6%
Walking	56	2.7%
Motorbike	11	0.5%
Bike	7	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
public_transportation	1580	74.8%
automobile	457	21.6%
walking	56	2.7%
motorbike	11	0.5%
bike	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32998	86.2%
Uppercase Letter	3691	9.6%
Connector Punctuation	1580	4.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4096	12.4%
i	3691	11.2%
t	3628	11.0%
a	3216	9.7%
n	3216	9.7%
r	3171	9.6%
l	2093	6.3%
b	2048	6.2%
u	2037	6.2%
p	1580	4.8%
Other values (6)	4222	12.8%

Uppercase Letter

Value	Count	Frequency (%)
P	1580	42.8%
T	1580	42.8%
A	457	12.4%
W	56	1.5%
M	11	0.3%
B	7	0.2%

Connector Punctuation

Value	Count	Frequency (%)
_	1580	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36689	95.9%
Common	1580	4.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	4096	11.2%
i	3691	10.1%
t	3628	9.9%
a	3216	8.8%
n	3216	8.8%
r	3171	8.6%
l	2093	5.7%
b	2048	5.6%
u	2037	5.6%
P	1580	4.3%
Other values (12)	7913	21.6%

Common

Value	Count	Frequency (%)
_	1580	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

NObeyesdad
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Obesity_Type_I	351
Obesity_Type_III	324
Obesity_Type_II	297
Overweight_Level_I	290
Overweight_Level_II	290
Other values (2)	559

Length

Max length	19
Median length	16
Mean length	16.19232591
Min length	13

Characters and Unicode

Total characters	34182
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal_Weight
2nd row	Normal_Weight
3rd row	Normal_Weight
4th row	Overweight_Level_I
5th row	Overweight_Level_II

Common Values

Value	Count	Frequency (%)
Obesity_Type_I	351	16.6%
Obesity_Type_III	324	15.3%
Obesity_Type_II	297	14.1%
Overweight_Level_I	290	13.7%
Overweight_Level_II	290	13.7%
Normal_Weight	287	13.6%
Insufficient_Weight	272	12.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
obesity_type_i	351	16.6%
obesity_type_iii	324	15.3%
obesity_type_ii	297	14.1%
overweight_level_i	290	13.7%
overweight_level_ii	290	13.7%
normal_weight	287	13.6%
insufficient_weight	272	12.9%

Most occurring characters

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23510	68.8%
Uppercase Letter	7009	20.5%
Connector Punctuation	3663	10.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5095	21.7%
i	2655	11.3%
t	2383	10.1%
y	1944	8.3%
s	1244	5.3%
v	1160	4.9%
g	1139	4.8%
h	1139	4.8%
p	972	4.1%
b	972	4.1%
Other values (10)	4807	20.4%

Uppercase Letter

Value	Count	Frequency (%)
I	3059	43.6%
O	1552	22.1%
T	972	13.9%
L	580	8.3%
W	559	8.0%
N	287	4.1%

Connector Punctuation

Value	Count	Frequency (%)
_	3663	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30519	89.3%
Common	3663	10.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5095	16.7%
I	3059	10.0%
i	2655	8.7%
t	2383	7.8%
y	1944	6.4%
O	1552	5.1%
s	1244	4.1%
v	1160	3.8%
g	1139	3.7%
h	1139	3.7%
Other values (16)	9149	30.0%

Common

Value	Count	Frequency (%)
_	3663	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34182	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

Spearman\'s ρ

The Spearman\'s rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson\'s r. It\'s value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson\'s r

The Pearson\'s correlation coefficient (r) is a measure of linear correlation between two variables. It\'s value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall\'s τ

Similarly to Spearman\'s rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It\'s value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér\'s V (φc)

Cramér\'s V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér\'s V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad
0	Female	21.0	1.62	64.0	yes	no	2.0	3.0	Sometimes	no	2.0	no	0.0	1.0	no	Public_Transportation	Normal_Weight
1	Female	21.0	1.52	56.0	yes	no	3.0	3.0	Sometimes	yes	3.0	yes	3.0	0.0	Sometimes	Public_Transportation	Normal_Weight
2	Male	23.0	1.80	77.0	yes	no	2.0	3.0	Sometimes	no	2.0	no	2.0	1.0	Frequently	Public_Transportation	Normal_Weight
3	Male	27.0	1.80	87.0	no	no	3.0	3.0	Sometimes	no	2.0	no	2.0	0.0	Frequently	Walking	Overweight_Level_I
4	Male	22.0	1.78	89.8	no	no	2.0	1.0	Sometimes	no	2.0	no	0.0	0.0	Sometimes	Public_Transportation	Overweight_Level_II
5	Male	29.0	1.62	53.0	no	yes	2.0	3.0	Sometimes	no	2.0	no	0.0	0.0	Sometimes	Automobile	Normal_Weight
6	Female	23.0	1.50	55.0	yes	yes	3.0	3.0	Sometimes	no	2.0	no	1.0	0.0	Sometimes	Motorbike	Normal_Weight
7	Male	22.0	1.64	53.0	no	no	2.0	3.0	Sometimes	no	2.0	no	3.0	0.0	Sometimes	Public_Transportation	Normal_Weight
8	Male	24.0	1.78	64.0	yes	yes	3.0	3.0	Sometimes	no	2.0	no	1.0	1.0	Frequently	Public_Transportation	Normal_Weight
9	Male	22.0	1.72	68.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	1.0	1.0	no	Public_Transportation	Normal_Weight

Last rows

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad
2101	Female	25.722004	1.628470	107.218949	yes	yes	3.0	3.0	Sometimes	no	2.487070	no	0.067329	0.455823	Sometimes	Public_Transportation	Obesity_Type_III
2102	Female	25.765628	1.627839	108.107360	yes	yes	3.0	3.0	Sometimes	no	2.320068	no	0.045246	0.413106	Sometimes	Public_Transportation	Obesity_Type_III
2103	Female	21.016849	1.724268	133.033523	yes	yes	3.0	3.0	Sometimes	no	1.650612	no	1.537639	0.912457	Sometimes	Public_Transportation	Obesity_Type_III
2104	Female	21.682367	1.732383	133.043941	yes	yes	3.0	3.0	Sometimes	no	1.610768	no	1.510398	0.931455	Sometimes	Public_Transportation	Obesity_Type_III
2105	Female	21.285965	1.726920	131.335786	yes	yes	3.0	3.0	Sometimes	no	1.796267	no	1.728332	0.897924	Sometimes	Public_Transportation	Obesity_Type_III
2106	Female	20.976842	1.710730	131.408528	yes	yes	3.0	3.0	Sometimes	no	1.728139	no	1.676269	0.906247	Sometimes	Public_Transportation	Obesity_Type_III
2107	Female	21.982942	1.748584	133.742943	yes	yes	3.0	3.0	Sometimes	no	2.005130	no	1.341390	0.599270	Sometimes	Public_Transportation	Obesity_Type_III
2108	Female	22.524036	1.752206	133.689352	yes	yes	3.0	3.0	Sometimes	no	2.054193	no	1.414209	0.646288	Sometimes	Public_Transportation	Obesity_Type_III
2109	Female	24.361936	1.739450	133.346641	yes	yes	3.0	3.0	Sometimes	no	2.852339	no	1.139107	0.586035	Sometimes	Public_Transportation	Obesity_Type_III
2110	Female	23.664709	1.738836	133.472641	yes	yes	3.0	3.0	Sometimes	no	2.863513	no	1.026452	0.714137	Sometimes	Public_Transportation	Obesity_Type_III

Most frequently occurring

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad	# duplicates
7	Male	21.0	1.62	70.0	no	yes	2.0	1.0	no	no	3.0	no	1.0	0.0	Sometimes	Public_Transportation	Overweight_Level_I	15
3	Female	21.0	1.52	42.0	no	yes	3.0	1.0	Frequently	no	1.0	no	0.0	0.0	Sometimes	Public_Transportation	Insufficient_Weight	4
0	Female	16.0	1.66	58.0	no	no	2.0	1.0	Sometimes	no	1.0	no	0.0	1.0	no	Walking	Normal_Weight	2
1	Female	18.0	1.62	55.0	yes	yes	2.0	3.0	Frequently	no	1.0	no	1.0	1.0	no	Public_Transportation	Normal_Weight	2
2	Female	21.0	1.52	42.0	no	no	3.0	1.0	Frequently	no	1.0	no	0.0	0.0	Sometimes	Public_Transportation	Insufficient_Weight	2
4	Female	22.0	1.69	65.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	1.0	1.0	Sometimes	Public_Transportation	Normal_Weight	2
5	Female	25.0	1.57	55.0	no	yes	2.0	1.0	Sometimes	no	2.0	no	2.0	0.0	Sometimes	Public_Transportation	Normal_Weight	2
6	Male	18.0	1.72	53.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	0.0	2.0	Sometimes	Public_Transportation	Insufficient_Weight	2
8	Male	22.0	1.74	75.0	yes	yes	3.0	3.0	Frequently	no	1.0	no	1.0	0.0	no	Automobile	Normal_Weight	2

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman\'s ρ

Pearson\'s r